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| Home > Publications database > Heavy Quarks, Multi-Level Algorithms and Tensor Networks: Developing Methods for Non-Perturbative Aspects of Quantum Field Theories > print |
| Home > Publications database > Heavy Quarks, Multi-Level Algorithms and Tensor Networks: Developing Methods for Non-Perturbative Aspects of Quantum Field Theories > print |
| 001 | 874324 | ||
| 005 | 20210130004644.0 | ||
| 024 | 7 | _ | |2 Handle |a 2128/24455 |
| 037 | _ | _ | |a FZJ-2020-01372 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Jansen, Karl |b 0 |
| 111 | 2 | _ | |a NIC Symposium 2020 |c Jülich |d 2020-02-27 - 2020-02-28 |w Germany |
| 245 | _ | _ | |a Heavy Quarks, Multi-Level Algorithms and Tensor Networks: Developing Methods for Non-Perturbative Aspects of Quantum Field Theories |
| 260 | _ | _ | |a Jülich |b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag |c 2020 |
| 295 | 1 | 0 | |a NIC Symposium 2020 |
| 300 | _ | _ | |a 43 - 51 |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
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| 336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |m contb |
| 490 | 0 | _ | |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series |v 50 |
| 520 | _ | _ | |a The particle physics group at the John von Neumann Institute for Computing (NIC) is concerned with quantum field theories, in particular with their non-perturbative aspects. Here we describe recent efforts of the group to develop and consolidate methods and concepts to reach the goal to understand non-perturbative phenomena in quantum field theories and to calculate observables with a high precision. |
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| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Schäfer, Stefan |b 1 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Simma, Hubert |b 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Sommer, Rainer |b 3 |
| 787 | 0 | _ | |0 FZJ-2020-01353 |i IsPartOf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/874324/files/NIC_2020_Sommer.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2020 |
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